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1. Natural language boosts LLM performance in coding, planning, and robotics

   MIT CSAIL researchers have developed three neurosymbolic frameworks - LILO, Ada, and LGA - that use natural language to help large language models (LLMs) build better abstractions for coding, AI planning, and robotics tasks.

   2024-05-17 Tags: mit, csail, llm, code synthesis, ai planning, robotics, abstract reasoning, programming by klotz

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